[CPM-SPIRE-L] TENURE-STREAM ASSISTANT PROFESSOR OF COMPUTER SCIENCE (3 POSITIONS; DESIGNATED FOR WOMEN)

Travis Gagie travis.gagie at gmail.com
Thu Dec 23 14:09:46 PST 2021


DIRECT LINK TO POSTING: http://dal.peopleadmin.ca/postings/7541

The Faculty of Computer Science at Dalhousie University
(https://www.dal.ca/faculty/computerscience.html) invites applications for up to
three tenure-stream Assistant Professor positions in any area of research focus
for the Faculty
(https://www.dal.ca/faculty/computerscience/researchindustry/fcs_research.html).

In the Faculty of Computer Science, we are committed to having both a
diverse student body and a diverse group of professors and
instructors, and to creating an inclusive environment that supports
all members of our community. The goal of the three advertised
positions is to take an important step towards addressing the
underrepresentation of women in Computer Science. Therefore, this
position is restricted to candidates who self-identify as women.

ABOUT THE FACULTY OF COMPUTER SCIENCE:  The Faculty has research
clusters in Big Data Analytics, Artificial Intelligence & Machine
Learning, Human-Computer Interaction, Visualization & Graphics,
Systems, Networks & Security, Algorithms & Bioinformatics, and
Computer Science Education. More information is available
athttps://www.dal.ca/faculty/computerscience/researchindustry/fcs_research.html.

Dalhousie's Faculty of Computer Science offers a supportive,
inclusive, multicultural, research-oriented environment with a firm
commitment to justice, equality, diversity, and inclusion. The Faculty
offers reasonable teaching loads (with excellent TA support), and
competitive pay and benefits (including health
insurance, dental insurance and an exceptional pension plan). The
Faculty supports new hires with moving assistance and start-up
funding. Early-career researchers will enjoy the collaborative lab
environment; mentoring; peer support for teaching, research, and grant
writing; and extensive ties to local industry.

The Faculty of Computer Science is a research-intensive unit that
currently comprises over 50 faculty members, including Tier I and Tier
II Canada Research Chairs, a CIFAR AI chair, and many
cross-appointments and adjunct faculty members. We are a fast-growing
faculty in the university, with approximately 1400 students, one third
of whom are graduate students at the Master's or Doctoral level. The
Faculty of Computer Science offers research-intensive and applied
training at the undergraduate, Master’s, PhD, and postdoctoral
levels, including the new Master of Digital Innovation program. The
Faculty hosts the Dalhousie Institute for Big Data Analytics, which
has academic and industry partnerships centred on deep learning and
artificial intelligence. The Faculty
is also an integral partner of the recently launched Here We Code
initiative to grow the digital economy in Nova Scotia.

ABOUT DALHOUSIE UNIVERSITY:  Dalhousie University is located in
Halifax, Nova Scotia (http://www.discoverhalifaxns.com), which is the
largest city in Atlantic Canada and affords its residents a high
quality of life. Dalhousie University is a leading academic and
research institution in Atlantic Canada and a member of the U15
research-intensive universities in Canada.

Dalhousie University is committed to fostering a collegial culture
grounded in diversity and inclusiveness. In keeping with the
principles of employment equity and with the aim of correcting
historic underrepresentation, this position is
restricted to candidates who self-identify as women. Dalhousie
recognizes that candidates may self-identify in more than one
equity-seeking group, and in this spirit, encourages applications from
Indigenous persons (especially Mi'kmaq), persons with a disability,
racialized persons, including persons of Black/African descent
(especially African Nova Scotians), persons of a minority sexual
orientation and/or gender identity. For more information, please visit
www.dal.ca/hiringfordiversity.

QUALIFICATIONS:  The successful candidate will demonstrate a strong
commitment to and aptitude for both research and teaching, will be an
outstanding scholar who holds or will have completed a PhD in Computer
Science or a related area by the appointment date, and should have
demonstrated potential to establish
independent scholarly research. Evidence of a strong publication
record is essential. The ideal candidate will be open to collaborative
research within the Faculty and across campus. The successful
candidate will teach both undergraduate and graduate courses, develop
graduate-level courses, and support the Faculty's initiatives. The
applicant will be expected to establish a strong externally funded
research program, supervise graduate student research, and foster
existing and new collaborations with NGOs, government, and/or
industry,
as well as with members of Dalhousie's research community.

APPLICATION PROCESS:  A complete application will include a cover
letter, curriculum vitae, statements of research and teaching
interests, sample publications, and the names, email addresses and
physical addresses of three referees.

Applicants are encouraged to indicate in their research statement how
they see their research fit in one or more of the Faculty's research
focus areas. Candidates should also be prepared to have their referees
forward their letters of reference upon request.

Review of applications will begin February 1st, 2022 and will continue
until positions are filled.

All application materials should be submitted directly
athttp://dal.peopleadmin.ca/postings/7541 except for the letters of
reference. Candidates should be prepared to have their referees
forward their letters of reference upon request.

All qualified candidates are encouraged to apply; however, Canadians
and permanent residents will be given priority. The successful
candidate will be required to provide proof of full vaccination or may
seek an accommodation from Dalhousie's vaccine requirements on grounds
protected under provincial human
rights legislation. Visit the Campus Check website for more information.
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